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maintenance, production efficiency, and quality control. While the benefits of ML are significant, its adoption also introduces risks such as data privacy concerns, algorithmic bias, model transparency issues
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candidate will develop machine learning and algorithmic design skills. The candidate will gain valuable multidisciplinary skills in the area of machine learning and data analytics methods and their
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and operational levels) and different objectives and constraints in the presence of uncertainty into a single multi-objective optimisation framework. The successful candidate will develop a novel
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